<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/1907e98e90ac460695dcc86a04750f12&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/1907e98e90ac460695dcc86a04750f12-00001.gif</thumbnail_url><duration>519.5</duration><title>INQQA: Adding Filters to Your Data using Sentiment Analysis as an example (Export Feature)</title><description>In this video, I will showcase an expert feature in INQQA, which is adding filters to your data. I will address common questions about sentiment analysis and INQQA, and explain how INQQA can help professionals with text coding effortlessly. Using online reviews as an example, I will demonstrate the applications of INQQA in text analysis tasks. I will also discuss the importance of considering your business case when deciding whether to use sentiment analysis. Throughout the video, I will provide insights and tips for effectively utilizing sentiment analysis in INQQA.</description></oembed>